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Rather, it should be viewed as instilling responsibility for the development and execution of data processing systems [8] such as services offered by cloud.
Artificial neural networks are some kind of data processing systems, which try to simulate features of the human brain and its learning process.
Often such precision is not necessary; in this case TDC architectures with low resources occupancy are preferable allowing the implementation of data processing systems and of other utilities on the same device.
However, parallel to the rapid progress being made in upgrading the capability of data processing systems, methods and software tools have become available which work in the frequency domain using complex (soil-structure) mathematical models or models in which the soil is represented by frequency-dependent impedances.
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In above research foundation, the structure of data processing system based on XML is presented.
The fast-generated content from various kinds of websites poses great challenges on data processing systems [1].
However, given the scalability and complex requirements of big data processing systems, an empirical evaluation on actual cloud infrastructure can hinder the development of timely and cost effective IoT solutions.
As a highly automated system designed to run as a stand-alone package or as a component of other Landsat data processing systems, this system can be used to assess the quality of essentially every Landsat surface reflectance image where spatially and temporally matching MODIS data are available.
This includes in particular, a structuring of observing and data processing systems at global, regional, and national levels.
In their survey, Zhang et al. [59] explore new research opportunities and provide insights into selecting suitable processing systems for specific applications, providing a high-level overview of the existing parallel data processing systems categorized by the data input as stream processing, machine learning processing, graph processing, and batch processing.
The traffic control system comprises an Electronic Chart Display and Information System using radar sensors and an Automatic Identification System, as well as additional systems such as a VHF system, hydrometeorological data, Closed-circuit television monitoring of the port and data processing systems.
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